{"id":"https://openalex.org/W2547865357","doi":"https://doi.org/10.14778/3007263.3007308","title":"Graph-based exploration of non-graph datasets","display_name":"Graph-based exploration of non-graph datasets","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2547865357","doi":"https://doi.org/10.14778/3007263.3007308","mag":"2547865357"},"language":"en","primary_location":{"id":"doi:10.14778/3007263.3007308","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3007263.3007308","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013455098","display_name":"Udayan Khurana","orcid":"https://orcid.org/0000-0001-8113-1210"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Udayan Khurana","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755351","display_name":"Srinivasan Parthasarathy","orcid":"https://orcid.org/0000-0002-6062-6449"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Srinivasan Parthasarathy","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056925015","display_name":"Deepak S. Turaga","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deepak Turaga","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1192,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82962241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"13","first_page":"1557","last_page":"1560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7922194600105286},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5339853167533875},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.489729642868042},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.48372939229011536},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4355939030647278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7922194600105286},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5339853167533875},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.489729642868042},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.48372939229011536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4355939030647278}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3007263.3007308","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3007263.3007308","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W845171161","https://openalex.org/W1161092233","https://openalex.org/W1549099081","https://openalex.org/W1942169943","https://openalex.org/W1972978715","https://openalex.org/W1988402734","https://openalex.org/W2008896880","https://openalex.org/W2078210269","https://openalex.org/W2089554624","https://openalex.org/W2122494833","https://openalex.org/W2123442489","https://openalex.org/W2133156458","https://openalex.org/W2142931311","https://openalex.org/W2259857913","https://openalex.org/W2262682425","https://openalex.org/W2399232213","https://openalex.org/W4230765542","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3115442681","https://openalex.org/W2007838763","https://openalex.org/W4386112722","https://openalex.org/W2391000461","https://openalex.org/W2972311463"],"abstract_inverted_index":{"Graphs":[0],"or":[1],"networks":[2],"provide":[3],"a":[4,17,65,97,102,139],"powerful":[5],"abstraction":[6],"to":[7,26,135,156,163],"view":[8],"and":[9,28,42,46,51,63,88,107,110,114,120,124,161],"analyze":[10],"relationships":[11],"among":[12],"different":[13],"entities":[14,127],"present":[15],"in":[16,32,49,128],"dataset.":[18],"However,":[19],"much":[20],"of":[21,24,68,71,104,150],"the":[22,53,61,133,143,146,151,166],"data":[23,29,58,167],"interest":[25],"analysts":[27],"scientists":[30],"resides":[31],"non-graph":[33,72,99],"forms":[34],"such":[35],"as":[36],"relational":[37],"databases,":[38],"JSON,":[39],"XML,":[40],"CSV":[41],"text.":[43],"The":[44],"effort":[45],"skill":[47],"required":[48],"identifying":[50],"extracting":[52],"relevant":[54,93],"graph":[55,121],"representation":[56],"from":[57],"is":[59,154],"often":[60],"prohibitive":[62],"limits":[64],"wider":[66],"adoption":[67],"graph-based":[69,86],"analysis":[70],"data.":[73,129],"In":[74],"this":[75],"paper,":[76],"we":[77],"demonstrate":[78],"our":[79],"system":[80,144],"called":[81],"GraphViewer":[82],",":[83],"for":[84],"accelerated":[85],"exploration":[87,168],"analysis.":[89],"It":[90,116],"automatically":[91],"discovers":[92],"graphs":[94],"implicit":[95],"within":[96],"given":[98],"dataset":[100],"using":[101],"set":[103],"novel":[105],"rule-based":[106],"data-driven":[108],"techniques,":[109],"optimizes":[111],"their":[112],"extraction":[113],"storage.":[115],"computes":[117],"several":[118],"node":[119],"level":[122],"metrics":[123],"detects":[125],"anomalous":[126],"Finally,":[130],"it":[131,153],"summarizes":[132],"results":[134],"support":[136],"interpretation":[137],"by":[138],"human":[140,158],"analyst.":[141],"While":[142],"automates":[145],"computationally":[147],"intensive":[148],"aspects":[149],"process,":[152],"engineered":[155],"leverage":[157],"domain":[159],"expertise":[160],"instincts":[162],"fine":[164],"tune":[165],"process.":[169]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}